Evaluation and Optimization Models
Evaluation and Optimization Models is a research topic within Safety, Risk, Reliability and Quality. Science Explorer counts 33k research works in it since 1960. 9.7% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on the comprehensive assessment of safety in energy and infrastructure, covering topics such as coal mine safety, power system risk evaluation, supply chain management, traffic safety assessment, and fault diagnosis using neural networks and fuzzy methods.
- Safety Assessment
- Neural Network
- Risk Evaluation
- Supply Chain
- Power System
- Fuzzy Method
- Traffic Safety
- Fault Diagnosis
- Coal Mine
- Data Mining
- Research works
- 33k fractional, since 1960
- In the world top 10%
- 3.2k per year above
- Top-10% rate
- 9.7% share of its works in the world top 10%
- Growth, 2018-21 → 2022-25
- +30% the tick is no change
- Largest producer
China
89% of the 10 largest, 2022-now
Which countries lead Evaluation and Optimization Models research?
By volume, China and Indonesia publish the most (1k and 22 works in 2022-now).
By volume, 2022-now
- 1
China 1k works
- 2
Indonesia 22 works
- 3
United States 22 works
- 4
India 20 works
- 5 ?? 17 works
- 6
Vietnam 12 works
- 7
Iran 12 works
- 8
United Kingdom 11 works
- 9
Malaysia 8 works
- 10
Australia 6 works
How concentrated that is
The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.
Shares of the rows listed above, not of the whole node.
Which institutions lead Evaluation and Optimization Models research?
By volume in 2022-now, State Grid Corporation of China (China) publishes the most Evaluation and Optimization Models research, followed by Beijing Jiaotong University and North China Electric Power University.
By volume, 2022-now
- 1
State Grid Corporation of China (China)
China 21 works
- 2
Beijing Jiaotong University
China 16 works
- 3
North China Electric Power University
China 16 works
- 4
Shanghai Electric (China)
China 14 works
- 5
China University of Mining and Technology
China 13 works
- 6
Liaoning Technical University
China 12 works
- 7
Wuhan University of Technology
China 12 works
- 8
Chang'an University
China 11 works
- 9
Chinese Academy of Sciences
China 11 works
- 10
China Southern Power Grid (China)
China 9 works
Who are the leading researchers in Evaluation and Optimization Models?
The most-cited researchers publishing on Evaluation and Optimization Models include Kai You Wang, Hua Zhang and Qiang Zhang.
- 1
Kai You Wang
China 224k citations
- 2
Hua Zhang
Singapore 196k citations
- 3
Qiang Zhang
China 184k citations
- 4
Huan Liu
Australia 148k citations
- 5
Jin Li
China 132k citations
- 6
Thomas L. Saaty
United States 122k citations
- 7
Hao Chen
China 118k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Evaluation and Optimization Models research done?
The largest centres of Evaluation and Optimization Models research in 2022-now are Beijing (China), Xi'an (China), Shanghai (China) and Wuhan (China). Among places with at least 20 works in it, it is an unusually large share of all research in Xi'an, Jinan and Wuhan.
Largest cities, 2022-now
Where it is the local speciality
- Xi'anCN · 63.2 works7.0×
- JinanCN · 28.0 works6.1×
- WuhanCN · 52.0 works5.7×
- ChongqingCN · 25.8 works5.3×
Location quotient: how much more of its research is in Evaluation and Optimization Models than the world average.
Where is the best place to study Evaluation and Optimization Models?
Among universities, judged by research, China University of Mining and Technology, North China Electric Power University and Central South University score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.
One dot per university in the first ten of the table below, at the default weights. The upper left is the interesting corner: small places doing unusually strong work.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | China University of Mining and Technology |
85.7 | 37.8% | 16.3× | 13 | +27.3% |
| 2 | North China Electric Power University |
54.1 | 7.4% | 23.6× | 16 | -34.2% |
| 3 | Central South University |
49.3 | 30.8% | 4.2× | 8 | +76.0% |
| 4 | Beijing Jiaotong University |
46.0 | 6.3% | 26.2× | 16 | -41.9% |
| 5 | Wuhan University of Technology |
43.0 | 8.0% | 14.8× | 12 | +15.4% |
| 6 | Liaoning Technical University |
41.8 | 11.7% | 69.8× | 12 | +902.4% |
| 7 | Chang'an University |
37.5 | 10.0% | 28.3× | 11 | +2.3% |
| 8 | Tongji University |
32.6 | 16.9% | 5.3× | 8 | -7.0% |
| 9 | Sichuan University |
24.1 | 9.3% | 3.9× | 9 | +114.6% |
Universities only. The score blends excellence (40%), size (30%), specialisation (10%), growth (10%), international reach (10%), 2022-now; growth compares 2018-21 with 2022-25 and counts up to +20%, since a jump from a small base is mostly noise.
Every institution in Evaluation and Optimization Models, country by countryIs Evaluation and Optimization Models research growing?
Output in 2022-2025 was 30% higher than in 2018-2021, peaking in 2010. The fastest-growing topics are Evaluation and Optimization Models.
The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.
Its share of all research
Growing output can still be a shrinking share: all of science grows. This is Evaluation and Optimization Models as a percentage of every work published that year, 0.0068% in 2024.
Fractional works of Evaluation and Optimization Models over all fractional works that year. How the balance of science has shifted.
How much of it reaches the world top 10%
Year by year.
Of each year's works in it, the share that reached the world's 10% most cited for their field and year. A field is the world for its own topics, so there is no other line to hold it against.
Which topics inside it are moving
Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.
Discussion
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